Data Scientist - QPS

QBE Insurance Group; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

30 days holiday a year

Flexible working

Pension – employer contributions 10%

Private medical insurance for you and

Family friendly policies

Short term remote work abroad

Job summary

QBE Insurance Group in London is seeking a Data Scientist for QPS to apply pricing, data science and ML to underwriting and portfolio decisions.

You can come from pricing/actuarial or data science backgrounds; you will blend commercial insight with modelling and technology to build scalable analytical solutions.

This hybrid role collaborates with underwriting, pricing, catastrophe modelling, Data & AI and engineering teams to translate business questions into actionable insights.

Qualifications

• Adaptability, analytical thinking and problem solving across pricing or ML.
• Strong analytical skills with data-driven decision making.
• Experience with pricing, underwriting or portfolio analytics is a plus.

Responsibilities

• Develop pricing, statistical and machine-learning models for underwriting and portfolio decisions.
• Analyse policy, exposure, claims and pricing data to identify trends, risks and opportunities.
• Build reusable solutions using Python, SQL and Databricks.
• Apply ML engineering practices so models are reproducible, tested, maintainable and ready to operationalise.
• Work with underwriting, pricing, catastrophe modelling, Data & AI and engineering teams to turn business questions into scalable solutions.
• Communicate complex analysis as clear insights and recommendations for technical and non-technical stakeholders.

Skills

Adaptability

Administration Management

Analytical Thinking

Business Process Modeling

Collaboration Tools

Communication

Critical Thinking

Customer Value Management

Insurance Underwriting

Intentional collaboration

Managing performance

Policy Documentation

Presenting with Impact

Risk Management

Stakeholder Management

Tools

Python

SQL

Databricks

Job description

Primary Details

Time Type: Full timeWorker Type: Employee

Data Scientist - QPS

London / Hybrid
Permanent / Full Time

About QBE

At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch.

We're an international insurer with more than 13,000 people working across 26 countries - which means we're big enough for your ambitions, yet small enough for you to make a real impact. It's an exciting time. We're building momentum towards our vision to become the most consistent and innovative risk partner.

What if you could have a positive impact - at work and in the world? As part of the QBE team, you'll get to spend every day working with people who are passionate, talented and kind.

Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion.

The Opportunity

Join QBE Portfolio Solutions (QPS) in our Scout: Research & Insights team. You will use pricing, data science and machine learning to improve underwriting and portfolio decisions.

We welcome candidates from either an insurance pricing or actuarial background, or a data science and machine learning background. You will combine commercial understanding, modelling and technology to create scalable analytical solutions.

Your New Role

• Develop pricing, statistical and machine-learning models for underwriting and portfolio decisions.
• Analyse policy, exposure, claims and pricing data to identify trends, risks and opportunities.
• Build reusable solutions using Python, SQL and Databricks.
• Apply sound ML engineering practices so models are reproducible, tested, maintainable and ready to operationalise.
• Work with underwriting, pricing, catastrophe modelling, Data & AI and engineering teams to turn business questions into scalable solutions.
• Communicate complex analysis as clear insights and recommendations for technical and non-technical stakeholders.

About You

You may bring experience from either of the following routes:

• Pricing or actuarial: commercial insurance pricing, portfolio analytics, GLMs, rate adequacy, risk selection or portfolio performance, supported by strong analytical and coding skills.
• Data science or machine learning: predictive modelling, feature engineering, ML pipelines, workflow automation or MLOps, ideally using Python, SQL and Databricks.

What You Will Bring:

• Strong analytical and problem-solving skills, with practical experience in pricing, statistical modelling or machine learning.
• Strong Python skills and confidence working with data; SQL experience is highly desirable.
• Knowledge of reproducibility, testing, version control and good software or ML engineering practices.
• Ability to work with technical teams and business stakeholders and explain complex analysis clearly.
• Interest in applying machine learning to real commercial problems.

Experience in commercial or specialty insurance would be an advantage.

Benefits

We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:

30 days holiday a year with the option to buy up to 2 additional days.

Flexible working -balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours.

Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary.

Private medical insurance – we fund fully comprehensive private medical cover for you and all the family.

Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent.

Short term remote work abroad -you can request up to 20 days per year to work remotely from certain locations abroad.

Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes. Our pension strategy supports our net-zero goal to achieve year-on-year reductions in carbon footprint, by investing more in green businesses than the broader market, so your savings are looking after the planet's future, as well as your own.
Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000.

To find out more visit our Rewarding our people - QBE European Operations

#LI-Hybrid

Awards & Recognition

We value our employee's experience with us and are proud to have been recognised for the following awards:

General Insurer of the Year 2026at the British Insurance Awards

Winner of Excellence in Diversity, Equity & Inclusion Award 2025 at the Insurance Business Australia Awards for our Respect@QBE program

Insurance Post British Insurance Awards 2025:Winner: Commercial Lines Insurer of the Year,
Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance

AXCO Global Insurance Awards 2024 Winner:Network Management of the Year

Insurance Business UK 5-Star Cyber Awards 2024:QBE rated as a 5-Star Cyber Insurer

UK IT Industry Awards 2023 Winner:Green Technology Innovation of the Year

Working Dads Employer Awards 2023 Winner:Parental Policies Award

Insurance Post British Insurance Awards 2023:QBE rated as a 5-Star Employee

You can view all our awards here

Skills:

Adaptability, Administration Management, Analytical Thinking, Business Process Modeling, Collaboration Tools, Communication, Critical Thinking, Customer Value Management, Insurance Underwriting, Intentional collaboration, Managing performance, Policy Documentation, Presenting with Impact, Risk Management, Stakeholder Management

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.